Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...

The Nigerian Meteorological Agency has inaugurated an Artificial Intelligence Research and Integration Team to enhance ...

At times, the sun ejects energetic material into space, which can have consequences for space-based and even ground-based ...

With legacy load forecasting models struggling with unpredictable events that are becoming ever more common, power-hungry AI ...

Spatiotemporal Evolution Patterns and Intelligent Forecasting of Passenger Flow in Megacity High-Speed Rail Hubs: A Case ...

The problem comes down to how these tools learn. New study reveals unexpected results after using AI tools to predict extreme ...

This transformative role of AI supports the achievement of United Nations sustainable development goals (SDG) 7 (affordable ...

BMW has long been synonymous with the ultimate driving machine. But as we hurtle toward an increasingly connected future, the ...

SRINAGAR: Jammu and Kashmir has emerged as a focus area in the Centre’s push to modernise weather forecasting and disaster early warning systems, with three Doppler Weather Radars already operational ...

A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...

When supply chain practitioners think about forecasting, they focus on demand forecasting. Demand forecasting is essential, but the number of different forecasts that an effective organization should ...